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One-EG

Wearable Brain Monitoring Technology for Quick Diagnosis of Sleep Disorders

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 One-EG project word cloud

Explore the words cloud of the One-EG project. It provides you a very rough idea of what is the project "One-EG" about.

automatic    size    manually    diagnosis    de    fact    subsequently    phases    pi    home    ambulatory    monitored    difficulty    disease    first    quality    diseases    standard    wires    ease    smaller    additionally    hardware    starting    trained    attaching    boxes    certain    ones    limited    repositioning    breakthrough    grant    sleep    sensors    hours    places    multiple    supervised    overnight    comfortability    ing    impair    occasionally    sent    emg    ultralow    wearable    indicative    hooked    minus    preferably    eog    limitation    she    time    biomarkers    erc    channels    rem    wired    diagnosing    expert    tend    uncomfortable    amount    neurophysiological    he    clinic    accuracy    monitoring    analysed    eeg    attending    signal    full    unpractically    medical    patient    power    tiny    lighter    specialists    techniques    electrodes    heavy    connected    amongst    times    raw    head    disorders    single    bulky    create    channel    facilitated    signals    attached    lack   

Project "One-EG" data sheet

The following table provides information about the project.

Coordinator
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 149˙997 €
 EC max contribution 149˙997 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-PoC
 Funding Scheme ERC-POC
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2017-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 149˙997.00

Map

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 Project objective

The standard method of diagnosing sleep disorders involves the patient attending a sleep clinic overnight where he/she is hooked by trained specialists to bulky, uncomfortable wired sensors, and monitored during sleep; preferably supervised because the sensors tend to get de-attached and require repositioning. The raw signals are subsequently manually analysed by a medical expert, this taking over 2 hours. Occasionally, for certain diseases the patient is sent home with an ambulatory system which is able to provide a very limited amount of information and is only relevant to some disorders. The main limitation of ambulatory sleep monitoring is that neurophysiological channels (EEG, EMG and EOG) cannot be used in practice. These are however the only ones that can provide full information about the different sleep phases as well as certain sleep biomarkers which are indicative of disease. The lack of neurophysiological channels is due to the unpractically high number that is required to identify sleep phases (specifically REM) and the associated difficulty on attaching them. Additionally, they are very uncomfortable for the user because the sensors (electrodes on different places on the head) are connected by wires to bulky and heavy boxes which impair the quality of sleep. This project will use state-of-the-art signal processing and hardware design techniques resulting from the PI’s ERC Starting Grant to create a novel, ultralow power, tiny, user friendly, and- for the first time- single channel EEG wearable technology for automatic monitoring of sleep, and diagnosis of sleep disorders. The technology will represent a major breakthrough because of, amongst others: 1. Its size− over 20 times lighter and 50 times smaller than any other existing system. 2. Its ease of use and comfortability, facilitated by the fact that will be just one-channel EEG. 3. Its accuracy in automatic sleep analysis, comparable to multiple channel (i.e. non wearable) systems.

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The information about "ONE-EG" are provided by the European Opendata Portal: CORDIS opendata.

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